UAS Control System Using Virtual Roadways for Collision Avoidance
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Solution Overview
Problem
Current air traffic control systems face challenges in integrating unmanned aircraft systems (UAS) into low-altitude airspaces, particularly in preventing collisions from route conflicts and ensuring safe operation beyond visual line of sight (BVLOS).
Innovation Solution
A control system is developed that includes a layered structure of controls for UAS, featuring an application user layer, a virtual roadway system (VRS), and a machine learning processing unit (MLPU) for collision avoidance and path creation within a virtual packet boundary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional UAS control systems are used where UAS request and report flight paths to centralized servers but remain responsible for their own routing and collision avoidance, then the system maintains decentralization and operational autonomy, but the system becomes inefficient when drone flight density increases and cannot effectively prevent collisions from route conflicts
Solution Approach 1:
The patent introduces a centralized air traffic control system that acts as an intermediary between multiple UAS operators and the airspace management infrastructure. This mediator coordinates flight paths, assigns virtual corridors, and manages collision avoidance centrally, transforming the decentralized autonomous collision avoidance approach into a centralized controlled system that can efficiently handle high drone flight density while maintaining safety
Solution Approach 2:
The patent segments the airspace into virtual corridors and organized flight paths that are centrally assigned and managed. By dividing the three-dimensional airspace into structured segments with designated routes and altitudes, the system prevents route conflicts and collisions while improving overall traffic flow efficiency and productivity
2Reliability
If centralized control systems are implemented to manage multiple UAS operators in the same airspace, then collision prevention and route conflict management improve, but the system complexity and infrastructure requirements increase
Solution Approach 1:
The patent creates a universal centralized control system that can manage multiple UAS operators, coordinate flight paths, assign virtual corridors, and handle collision avoidance through a single integrated platform. This multi-functional system consolidates various control functions into one infrastructure, reducing overall system complexity while maintaining comprehensive collision prevention capabilities
Solution Approach 2:
The patent changes the operational parameters of UAS by assigning them centralized flight paths, altitude constraints, and virtual corridor designations. By controlling key parameters such as route, speed, and altitude through the centralized system, the patent achieves reliable collision prevention without requiring complex individual UAS autonomy systems
3Adaptability or versatility
If UAS operate beyond visual line of sight (BVLOS), then operational flexibility and application scope increase, but the ability to monitor and control flight paths and prevent collisions decreases
Solution Approach 1:
The patent implements a centralized feedback system where the air traffic control infrastructure continuously monitors BVLOS UAS flight paths, receives telemetry data, and provides real-time guidance and corrections. This feedback loop enables effective monitoring and control of beyond visual line of sight operations, maintaining safety while expanding operational flexibility and application scope
Data Source
AI summary
The present disclosure provides a control system for controlling unmanned autonomous systems (UAS). The control system comprises of an application user system 102 to operate the UAS, an operating system 103, a virtual road system (VRS) 109 and a virtual packet 501. The virtual packet 501 created as a boundary around the UAS defined by application user system 102 or VRS 109. The operating system 103 includes a machine learning processing unit (MLPU) 104 configured for positioning the UAS, detecting collision within path of the virtual packet 901. The VRS 109 configured to generate a virtual roadway 902 using architecture for routing the UAS. The routing and controlling of UAS by the VRS 109 is based on request received from the MLPU 104, application zone packet parameters and actual position co-ordinates received from the MLPU 104.